A5090196764- Metaheuristic Optimization Algorithms Research
- Market Dynamics and Volatility
- Energy Load and Power Forecasting
- Stock Market Forecasting Methods
- IoT and Edge/Fog Computing
- Cloud Computing and Resource Management
- Neural Networks and Applications
- Fuzzy and Soft Set Theory
- Fault Detection and Control Systems
- COVID-19 diagnosis using AI
- Digital Media Forensic Detection
- Rough Sets and Fuzzy Logic
- Millimeter-Wave Propagation and Modeling
- Fuzzy Logic and Control Systems
- Network Security and Intrusion Detection
- Big Data and Business Intelligence
- Advanced Malware Detection Techniques
- Evolutionary Algorithms and Applications
- Anomaly Detection Techniques and Applications
- Advanced Algebra and Logic
- Advanced Steganography and Watermarking Techniques
- Peer-to-Peer Network Technologies
- Data Mining Algorithms and Applications
- Advanced MIMO Systems Optimization
- Data Management and Algorithms
University of Hafr Al-Batin
2020-2024
Federal College of Education, Kano
2011-2023
National Yunlin University of Science and Technology
2020-2022
Kaduna State University
2021
Abubakar Tafawa Balewa University
2021
Bauchi State University
2020
University of Malaya
2012-2019
Gombe State University
2016-2019
Universiti Malaysia Pahang Al-Sultan Abdullah
2019
ORCID
2018
The upsurge in the volume of unwanted emails called spam has created an intense need for development more dependable and robust antispam filters. Machine learning methods recent are being used to successfully detect filter emails. We present a systematic review some popular machine based email filtering approaches. Our covers survey important concepts, attempts, efficiency, research trend filtering. preliminary discussion study background examines applications techniques process leading...
Breast cancer (BC) classification has become a point of concern within the field biomedical informatics in health care sector recent years. This is because it second-largest cause cancer-related fatalities among women. The medical attracted attention researchers applying machine learning techniques to detection, and monitoring life-threatening diseases such as breast (BC). Proper detection contribute immensely survival BC patients, which largely dependent on analysis pathological images....
The rapid increase in data traffic caused by the proliferation of smart devices has spurred demand for extremely large-capacity wireless networks. Thus, faster transmission rates and greater spectral efficiency have become critical requirements modern-day ubiquitous 5G is an end-to-end network capable accommodating billions linked offering high-performance broadcast services due to its several enabling technologies. However, existing review works on systems examined only a subset these...
The recent proliferation of ubiquitous computing technologies has led to the emergence urban that aims provide intelligent services inhabitants smart cities. Urban deals with enormous amounts data collected from sensors and other sources in a city. In this article, we investigated highlighted role sustainable addition, taxonomy was conceived categorized existing studies based on data, approaches, applications, enabling technologies, implications. context, developments were elucidated. To...
Prior to the innovation of information communication technologies (ICT), social interactions evolved within small cultural boundaries such as geo spatial locations. The recent developments have considerably transcended temporal and limitations traditional communications. These created a revolution in user-generated information, online human networks, rich behavior-related data. However, misuse media (SM) platforms, has introduced new form aggression violence that occurs exclusively online. A...
Deep learning (DL) models are becoming pervasive and applicable to computer vision, image processing, synthesis problems. The performance of these is often improved through architectural configuration, tweaks, the use enormous training data, skillful selection hyperparameters. application deep medical processing has yielded interesting performance, capable correctly detecting abnormalities in digital images, making them surpass human physicians. However, advancing research this domain...
Several orthodox approaches, such as empirical methods and deterministic methods, had earlier been used for the prediction of path loss in wireless communication systems. These approaches are either inefficient or complex. Robustness performance motivated adoption machine learning modeling systems place traditional schemes. Surveys on exist literature; however, emerging deep architectures in-depth analysis, taxonomies related to loss, analysis feature engineering missing already published...
The novel coronavirus, also known as COVID-19, is a pandemic that has weighed heavily on the socio-economic affairs of world. Research into production relevant vaccines progressively being advanced with development Pfizer and BioNTech, AstraZeneca, Moderna, Sputnik V, Janssen, Sinopharm, Valneva, Novavax Sanofi Pasteur vaccines. There is, however, need for computational intelligence solution approach to mediate process facilitating quick detection disease. Different methods, which comprise...